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2 дня назад

Principal AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal AI Engineer (AI/Edge Infrastructure): Building SeekrFlow Edge Builder to package, configure, deploy, and operate trustworthy AI solutions across edge, on-premises, cloud, disconnected, and air-gapped environments with an accent on model lifecycle management, orchestration, security, and resource-constrained inference. Focus on designing reusable deployment workflows, integrating Kubernetes and model-serving runtimes, optimizing workloads for hardware and connectivity constraints, and building observability, diagnostics, testing, and recovery capabilities.

Location: Hybrid work in Austin, Texas; Menlo Park, California; or Reston, Virginia, United States. Applicants must be U.S. citizens, lawful permanent residents, protected individuals, or eligible to obtain required U.S. government authorizations.

Company

hirify.global develops explainable and trustworthy AI solutions for mission-critical decisions in enterprises, government, and regulated industries.

What you will do

  • Design and build hirify.globalFlow Edge Builder capabilities for packaging, configuring, deploying, and operating AI solutions at the edge.
  • Develop repeatable workflows that combine models, agents, data pipelines, APIs, and supporting services.
  • Build deployment abstractions and orchestration components for cloud, on-premises, disconnected, and air-gapped environments.
  • Implement model and service lifecycle management, including versioning, validation, upgrades, rollback, and compatibility management.
  • Develop infrastructure for containers, Kubernetes, local inference, hardware acceleration, storage, and networking.
  • Build secure, observable, and reliable platform capabilities, including diagnostics, health monitoring, recovery, APIs, documentation, and technical guidance.

Requirements

  • Experience building production AI/ML platforms, MLOps systems, developer tools, or deployment infrastructure.
  • Strong Python, Go, or similar software-development skills.
  • Experience with Docker, Kubernetes, Linux, APIs, networking, and infrastructure-as-code.
  • Understanding of model serving, inference runtimes, quantization, batching, hardware acceleration, and resource-constrained environments.
  • Experience with technologies such as ONNX, TensorRT, PyTorch, Triton, or vLLM.
  • Knowledge of secure software development, identity and access management, secrets, encryption, auditability, supply-chain security, automated testing, observability, and reliability.

Culture & Benefits

  • Flexible hybrid work environment with offices in Reston, Virginia, and Austin, Texas.
  • RSU equity ownership and role-appropriate total rewards.
  • Unlimited PTO and 14 paid company holidays.
  • 401(k) plan with company match.
  • Medical, dental, vision, and life insurance from day one.
  • Paid parental leave and a collaborative mission-driven environment focused on secure, transparent AI.

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